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Ria Money Transfer
is hiring
Data Analyst, Fraud
About Our Company
Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. The company is steadfast in its commitment to serve its customers and the communities in which they live, opening ways for a better everyday life.
Founded in 1987, the company has grown from a single storefront in New York City, to become one of the largest money transfer companies worldwide, with more than 490,000 locations and presence in 160+ countries around the world.
Job Description & Responsibilities
The Fraud Data Analyst will play a critical role in Ria's fraud mitigation program by monitoring transaction data, identifying potential fraud threats, and performing data analysis to enhance our fraud prevention efforts. You will collaborate with cross-functional teams, analyze data, monitor trends, and create and implement innovative solutions to mitigate fraud risks and improve KPI performance. This role involves analyzing big data and using programming in languages like Python or R to develop and maintain fraud detection models and rules.
Responsibilities
- Assist with monitoring transaction data and perform data analysis to detect emerging fraud threats and monitor performance of new and ongoing strategies.
- Conduct QA checks on transaction monitoring rules to ensure accuracy and effectiveness.
- Utilize programming languages like Python or R to automate and optimize fraud detection processes.
- Generate reports and insights based on data analysis to support new fraud program strategies.
- Stay updated on industry trends, emerging fraud vectors, and internal strategy.
- Assist in documenting and maintaining documentation for all new analysis.
Requirements
Qualifications
- Bachelor's degree in data science, statistics, computer science, or a related field.
- 5+ years of experience in data analysis and fraud prevention.
- Proficiency in programming languages such as Python or R.
- Strong analytical and problem-solving skills.
- Attention to detail and a high level of accuracy.
- Excellent communication and teamwork skills.
- Knowledge of financial industry fraud detection tools is a plus.
What we offer
Benefits: Our package includes medical, dental, vision insurance, 401K, employee stock options, paid time off, HSA/FSA, short-term/long-term disability, tuition assistance, growth opportunities, and much more.
Salary: The base range in for this position is $95,000-$115,000. Actual starting compensation may vary based on geographic location, work experience, and skills.
